Amirhessam Tahmassebihttps://orcid.org/0000-0003-4677-6907,1 Katja Pinker-Domenig,1,2,3 Georg Wengert,2 Marc Lobbes,4 Andreas Stadlbauer,5 Norelle C. Wildburger,6 Francisco J. Romero,7 Diego P. Morales,7 Encarnacion Castillo,7 Antonio Garcia,7 Guillermo Botella,8 Anke Meyer-Bäse1,4
1Florida State Univ. (United States) 2Medical Univ. of Vienna (Austria) 3Memorial Sloan-Kettering Cancer Ctr. (United States) 4Maastricht Univ. (Netherlands) 5Univ. of Erlangen-Nürnberg (Germany) 6Washington Univ. in St. Louis (United States) 7Univ. de Granada (Spain) 8Univ. Complutense de Madrid (Spain)
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An important problem in modern therapeutics at the proteomic level remains to identify therapeutic targets in a plentitude of high-throughput data from experiments relevant to a variety of diseases. This paper presents the application of novel modern control concepts, such as pinning controllability and observability applied to the glioma cancer stem cells (GSCs) protein graph network with known and novel association to glioblastoma (GBM). The theoretical frameworks provides us with the minimal number of "driver nodes", which are necessary, and their location to determine the full control over the obtained graph network in order to provide a change in the network’s dynamics from an initial state (disease) to a desired state (non-disease). The achieved results will provide biochemists with techniques to identify more metabolic regions and biological pathways for complex diseases, to design and test novel therapeutic solutions.
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Amirhessam Tahmassebi, Katja Pinker-Domenig, Georg Wengert, Marc Lobbes, Andreas Stadlbauer, Norelle C. Wildburger, Francisco J. Romero, Diego P. Morales, Encarnacion Castillo, Antonio Garcia, Guillermo Botella, Anke Meyer-Bäse, "The driving regulators of the connectivity protein network of brain malignancies," Proc. SPIE 10216, Smart Biomedical and Physiological Sensor Technology XIV, 1021605 (16 May 2017); https://doi.org/10.1117/12.2263554